Solving the "Two Language" Problem in Data Science
summary
Claims concrete primitives that remove the language gap and shows implemented features that actually interoperate and run on real data: shelling out that captures stdout and exit codes, Unix pipes style composition between Julia and processes, generic asynchronous IO for nonblocking network and file ops, string macros and fast string manipulation for parsing and cleaning, plus package management and an HTTP server so the workflow stays in Julia without jumping languages and it demonstrably works on messy datasets.
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